Konstantin Sering
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View article: A new series of corpus presentations
A new series of corpus presentations Open
The Journal of Language and Aging Research (JLAR) presents a new series of corpus presentations. The series is meant to feature research data suitable for analyzing the processes and manifestations of linguistic aging. Dedicated to the ide…
View article: pyndl: Naïve Discriminative Learning in Python
pyndl: Naïve Discriminative Learning in Python Open
The pyndl package implements Naïve Discriminative Learning (NDL) in Python. NDL is an incremental learning algorithm grounded in the principles of discrimination learning (Rescorla & Wagner, 1972; Widrow & Hoff, 1960) and motivated by anim…
View article: A corpus of Schlieren photography of speech production: potential methodology to study aerodynamics of labial, nasal and vocalic processes
A corpus of Schlieren photography of speech production: potential methodology to study aerodynamics of labial, nasal and vocalic processes Open
This report presents a corpus of articulations recorded with Schlieren photography, a recording technique to visualize aeroflow dynamics for two purposes. First, as a means to investigate aerodynamic processes during speech production with…
View article: Attentional Processing of Disgust and Fear and Its Relationship With Contamination-Based Obsessive–Compulsive Symptoms: Stronger Response Urgency to Disgusting Stimuli in Disgust-Prone Individuals
Attentional Processing of Disgust and Fear and Its Relationship With Contamination-Based Obsessive–Compulsive Symptoms: Stronger Response Urgency to Disgusting Stimuli in Disgust-Prone Individuals Open
Disgust has recently been characterized as a low-urgency emotion, particularly compared to fear. The aim of the present study is to clarify whether behavioral inhibition during disgust engagement is characteristic of a low-urgency emotion …
View article: Anticipatory coarticulation in predictive articulatory speech modeling
Anticipatory coarticulation in predictive articulatory speech modeling Open
The aim of the present study is to test whether effects of anticipatory coarticulation emerge from a segment based and a recurrent gradient based planning speech resynthesis in the articulatory speech synthesizer VocalTractLab. For this, n…
View article: Predictive articulatory speech synthesis with semantic discrimination
Predictive articulatory speech synthesis with semantic discrimination Open
An articulatory speech sythesiser is presented that extends the Recurrent Gradient-based Motor Inference Model for Speech Resynthesis [1] with a classifier optimizing for semantic discrimination. The new design features show promising resu…
View article: Attentional processing of disgust and fear and its relationship with contamination-based obsessive-compulsive symptoms
Attentional processing of disgust and fear and its relationship with contamination-based obsessive-compulsive symptoms Open
'data.frame': 8064 obs. of 12 variables:\n $ VP = Participant Number: Factor w/ 48 levels \n $ PI = PI Washing Score (C-OCS): integer\n $ BDI = Depression Score: integer\n $ STAI = Anxiety Score: integer\n $ Block = experimental Block: Fac…
View article: Articulatory Variability is Reduced by Repetition and Predictability
Articulatory Variability is Reduced by Repetition and Predictability Open
Repeating the movements associated with activities such as drawing or sports typically leads to improvements in kinematic behavior: these movements become faster, smoother, and exhibit less variation. Likewise, practice has also been shown…
View article: Comparing KEC Recordings with Resynthesized EMA Data
Comparing KEC Recordings with Resynthesized EMA Data Open
Comparing simulated articulatory movements to their real counterparts is critical in establishing some trust in the findings produced by a simulator and the simulator’s generalizability. Point-wise and global measures are compared in this …
View article: Pyndl: Naive discriminative learning in python
Pyndl: Naive discriminative learning in python Open
fixes encoding error in long description of setup.py a lot of small code improvements improvements in the maintenance code
View article: Resynthesizing the GECO speech corpus with VocalTractLab
Resynthesizing the GECO speech corpus with VocalTractLab Open
We are addressing the challenge of learning an inverse mapping between acoustic features and control parameters of a vocal tract simulator. As a first step, we synthesize an articulatory corpus consisting of control parameters and wave for…
View article: Language comprehension as a multi‐label classification problem
Language comprehension as a multi‐label classification problem Open
The initial stage of language comprehension is a multilabel classification problem. Listeners or readers, presented with an utterance, need to discriminate between the intended words and the tens of thousands of other words they know. We p…
View article: Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit
Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit Open
Sound units play a pivotal role in cognitive models of auditory comprehension. The general consensus is that during perception listeners break down speech into auditory words and subsequently phones. Indeed, cognitive speech recognition is…